Vivek Gunasekaran

OverviewAI-generated summary

Vivek Gunasekaran's research focuses on the application of large language models (LLMs) for entity resolution and data linkage. His recent work includes developing methods for efficient representation learning using LLMs to improve entity resolution processes. Gunasekaran has also contributed to the creation of tools that leverage LLMs for data linkage, such as OmniMatch. His research in this area has led to publications in 2024. He has collaborated with Xingqiao Wang and John R. Talburt, both from the University of Arkansas at Little Rock, on multiple shared publications.

Metrics

• Publications: 4